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  1. 341

    Pomegranate extract-loaded sphingosomes for the treatment of cancer: Phytochemical investigations, formulation, and antitumor activity evaluation. by Huda Jamal AlMadalli, Bazigha K Abdul Rasool, Naglaa Gamil Shehab, Francesca Della Sala, Assunta Borzacchiello

    Published 2024-01-01
    “…<h4>Aim</h4>Formulation of Pomegranate Extracts (PE)-loaded sphingosomes as an antitumor therapy for the intravenous and passive targeted delivery to various tumor types, especially that of the breast, colon, and uterus; to increase the therapeutic activity and decrease the adverse effects profile.…”
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  2. 342

    Numerical Analysis of Load Reduction in the Gliding Process Achieved by the Bionic Swan’s Webbed-Foot Structures by Fukui Gao, Xiyan Liu, Xinlin Li, Zhaolin Fan, Houcun Zhou, Wenhua Wu

    Published 2025-06-01
    “…Webbed-foot gliding water entry is a characteristic water-landing strategy employed by swans and other large waterfowls, demonstrating exceptional low-impact loading and remarkable motion stability. These distinctive biomechanical features offer significant potential for informing the design of cross-medium vehicles’ (CMVs’) water-entry systems. …”
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  3. 343

    Histomorphometric evaluation of the testis after administration of methionine-loaded zinc oxide nano-particles in mice by Neda Nazarian, Mohammad Naser Nazem, Shahrzad Azizi, Pouneh Hajipour, Ehsanollah Sakhaee

    Published 2024-05-01
    “…The groups included M50 (50 mg/kg methionine), M200 (200 mg/kg methionine), NM50 (50 mg/kg methionine-loaded zinc oxide nanoparticles), NM200 (200 mg/kg methionine-loaded zinc oxide nanoparticles), and Control. …”
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  4. 344
  5. 345

    Enhancement of prefrontal functional connectivity under the influence of concurrent physical load during mental tasks by Shan Cheng, Lin Cong, Duoduo Hui, Chaolin Teng, Wenbin Li, Jin Ma

    Published 2024-12-01
    “…Therefore, the combined effects of physical and cognitive loads on hemodynamic features in the prefrontal cortex were evaluated.MethodsThirty-three eligible healthy male subjects were asked to perform three types of cognitive tasks (1-back, 2-back and 3-back). …”
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  6. 346

    The Radiosensitizing Effect of Tumor-Derived Microparticles Co-Loaded with Sorafenib and Gold Nanoparticles on Hepatocellular Carcinoma by Yu L, Liu J, Fan Y, Hu X, Zeng X, Luo S, Chen P

    Published 2025-04-01
    “…Subsequently, their targeting ability toward hepatocellular carcinoma cells and their combined antitumor therapeutic effects with radiotherapy were investigated through in vitro and in vivo experiments, while their in vivo safety was also assessed.Results: Our results demonstrate that co-loaded microparticles (MPSF@AuNP) can effectively deliver therapeutic agents to tumor cells through homologous targeting, improving the bioavailability of therapeutic drugs and enhancing their cytotoxicity against tumor cells. …”
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  7. 347

    Stabilization of caffeine-loaded nanoliposomes via chitosan coating and spray drying for application in food products by Zahra Mehrabi-Khozani, Seid Mahdi Jafari, Khashayar Sarabandi, Atefe Rezaei, Yahya Maghsoudlou

    Published 2024-12-01
    “…In this study, caffeine (CAF) was loaded into nanoliposomes (n-LPs) and chitosan-coated n-LPs, so called nanochitosomes (n-CTs). …”
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  8. 348

    Study on Mechanical Properties of Steel Fiber-Reinforced Geopolymer Concrete under Multi-Axial Loads by Pengtao Wu, Xuan Wan, Qun Lu, Yan Zhang

    Published 2024-09-01
    “…Steel fiber-reinforced geopolymer concrete (SFRGPC) is an inorganic cementitious material with environmentally friendly features. As compared to conventional concrete, SFRGPC has greater strength and durability, but it is brittle, making it similar to ordinary concrete. …”
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    Article
  9. 349

    Micromechanical experiments using a new inter-granule loading apparatus on gravel to ballast-sized materials by Chitta Sai Sandeep, Kostas Senetakis

    Published 2019-02-01
    “…In this study, a new robust micromechanical apparatus developed at the City University of Hong Kong is described; it is capable of conducting inter-granule (or inter-particle) loading tests on fine gravel to ballast-sized materials of sizes as small as 5−10 mm to granules (or ballast) as big as 50 mm. …”
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  10. 350

    A sustainable Ru catalyzed aerobic oxidation based on high loading magnetic ionic nanoparticles network by Sepideh Asgari, Mina Ghahremani, Sepideh Najafvand-Derikvandi, Hesamodin Moradi, Mina Tavakolian, Fariborz Mansouri, Babak Karimi

    Published 2025-08-01
    “…Abstract In this study, we describe the production of a novel high loading magnetic ionic nanoparticle network (HMINN) encompassing a functionalized imidazolium structure bridging between the core-shell magnetic nanoparticles. …”
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  11. 351
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  13. 353

    Parameters Substantiation of Headers and Reaper-Headers for Various Classes Combine Harvesters in the Incomplete Loading Mode of the Thresher by V. L. Astaf'ev, R. F. Tashmukhamedov, U. V. Zhivul'ko

    Published 2021-03-01
    “…It was found that the harvesting machines were working in the incomplete loading mode of the thresher. The authors revealed the discrepancy between the standard sizes of the used reaping machines and regional zonal features.…”
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  14. 354

    Prediction of biomechanical complications in patients with implant supported fixed dental prostheses in different terms of functional loading by O. M. Doroshenko, O. F. Sirenko

    Published 2017-08-01
    “…Objective – to study features of biomechanical complications (structural fractures, loss of retention, screw loosening/fracture) of implant restorations in different terms of functional loading and work out preventive measures. …”
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  15. 355

    Machine learning for brain tumor classification: evaluating feature extraction and algorithm efficiency by Krishan Kumar, Kiran Jyoti, Krishan Kumar

    Published 2024-12-01
    “…We implemented six machine learning algorithms and three features extraction methods, including Image Loading, HOG, and LBP. …”
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  16. 356

    Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

    Published 2025-03-01
    “…To evaluate the effectiveness of the proposed method, a true triaxial loading test was conducted to simulate rockburst hazards under realistic underground engineering conditions. …”
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    Article
  17. 357

    Integrated Energy System Load Forecasting Based on Multi-energy Demand Response and Improved BiLSTM by ZHANG Xiaojia, WANG Can, ZHANG Jiaheng, WANG Zhen, LI Zhiwei, ZHANG Zhaoyang, GAN Youchun

    Published 2025-04-01
    “…Finally, based on the multihead self-attention mechanism, the input feature weight is adaptively adjusted. The simulation results show that the prediction accuracy of the proposed multiload joint forecasting method is significantly improved compared with the single-load forecasting method. …”
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  18. 358

    Sequence-to-point learning based on spatio-temporal attention fusion network for non-intrusive load monitoring by Shiqing Zhang, Youyao Fu, Xiaoming Zhao, Jiangxiong Fang, Yadong Liu, Xiaoli Wang, Baochang Zhang, Jun Yu

    Published 2025-02-01
    “…To tackle this problem, this paper proposes a spatio-temporal attention fusion network with a sequence-to-point learning scheme for load disaggregation. Initially, a temporal feature extraction module is designed to extract temporal features over a large temporal receptive field. …”
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  19. 359

    Research of the effectiveness of mechanical testing methods with analysis of features of destructions and temperature effects by A.V. Babushkin, D.S. Lobanov, A.V. Kozlova, I.D. Morev

    Published 2013-03-01
    “…Deformation and failure features of the material under quasi-static loading, as well as at low and high temperatures, are shown.…”
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  20. 360

    AI-Enhanced Non-Intrusive Load Monitoring for Smart Home Energy Optimization and User-Centric Interaction by Xiang Li, Yunhe Chen, Xinyu Jia, Fan Shen, Bowen Sun, Shuqing He, Jia Guo

    Published 2025-06-01
    “…We propose an AI-driven NILM method that integrates power-mapped, color-coded voltage–current (V–I) trajectories with frequency-domain features to significantly improve load recognition accuracy and robustness. …”
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